title: Load-sensitive dynamic workflow re-orchestration and optimisation for faster patient healthcare.
abstract: Hospital waiting times are considerably long, with no signs of reducing any-time soon. A number of factors including population growth, the ageing population and a lack of new infrastructure are expected to further exacerbate waiting times in the near future. In this work, we show how healthcare services can be modelled as queueing nodes, together with healthcare service workflows, such that these workflows can be optimised during execution in order to reduce patient waiting times. Services such as X-ray, computer tomography, and magnetic resonance imaging often form queues, thus, by taking into account the waiting times of each service, the workflow can be re-orchestrated and optimised. Experimental results indicate average waiting time reductions are achievable by optimising workflows using dynamic re-orchestration.
authors.affiliation: School of Computer Science & Information Technology, RMIT University, Melbourne, Australia. Electronic address: chris.meli@rmit.edu.au.
authors.forename: Christopher L
authors.initials: CL
authors.lastname: Meli
authors.forename: Ibrahim
authors.initials: I
authors.lastname: Khalil
authors.forename: Zahir
authors.initials: Z
authors.lastname: Tari
mesh_terms: D001315:Australia; D003695:Delivery of Health Care / Q000458:organization & administration*; D017598:Efficiency, Organizational; D057188:Workflow
keywords: Diagnostic services; Healthcare; Optimisation; Queueing; Workflow